UCLA

In the 10-year period between the last two U.S. population censuses there have been significant changes in the U.S. population demography. The changes in self-reporting of racial and ethnic identity afforded by the most recent U.S. population census in 2020 have given citizens the opportunity to be represented in ways that truly reflect how they wish to be identified. At the same time, the diversity of the health care workforce in radiology has not reflected a similar change. While there have been small incremental changes for underrepresented groups (African Americans/Blacks, Hispanic ethnicity, and the group American Indian/Alaska Native/Native Hawaiian/Pacific Islander), these changes have not kept pace with the ever-changing demographics of the U.S. population. Part of the answer for these very modest gains must lie with our selection processes for identifying potential candidates from underrepresented in medicine groups (URiM) for acceptance to our medical schools, residency programs and employment opportunities as practicing physicians and faculty members. While the strategies employed have had some measure of success, our best efforts to increase diversity in our specialty, and in medicine in general, are being undermined by our biases and our traditional methods for identifying talents.